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Predicting 30-Day Readmission Risk for Patients With Chronic Obstructive Pulmonary Disease Through a Federated Machine Learning Architecture on Findable, Accessible, Interoperable, and Reusable (FAIR) Data: Development and Validation Study
Author(s) -
Celia Alvarez-Romero,
Alicia Martínez-García,
Jara Eloísa Ternero-Vega,
Pablo DÍAZ-JIMÉNEZ,
Carlos JIMÉNEZ-DE-JUAN,
María Dolores Nieto-Martín,
Esther Román-Villarán,
Tomi Kovačević,
Darijo Bokan,
Sanja Hromiš,
Jelena Djekić Malbaša,
Suzana BESLAC,
Bojan Zarić,
Mert Gençtürk,
Ali Anıl Sınacı,
Manuel OLLERO-BATURONE,
Carlos Calderón
Publication year - 2022
Publication title -
jmir medical informatics
Language(s) - English
Resource type - Journals
ISSN - 2291-9694
DOI - 10.2196/35307
Subject(s) - interoperability , computer science , observational study , health care , medicine , artificial intelligence , machine learning , world wide web , pathology , economics , economic growth

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